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Akinci D'Antonoli T, Cavallo AU, Vernuccio F, Stanzione A, Klontzas ME, Cannella R, Ugga L, Baran A, Fanni SC, Petrash E, Ambrosini I, Cappellini LA, van Ooijen P, Kotter E, Pinto Dos Santos D, Cuocolo R. Reproducibility of radiomics quality score: an intra- and inter-rater reliability study. Eur Radiol 2024; 34:2791-2804. [PMID: 37733025 PMCID: PMC10957586 DOI: 10.1007/s00330-023-10217-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/03/2023] [Accepted: 07/30/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVES To investigate the intra- and inter-rater reliability of the total radiomics quality score (RQS) and the reproducibility of individual RQS items' score in a large multireader study. METHODS Nine raters with different backgrounds were randomly assigned to three groups based on their proficiency with RQS utilization: Groups 1 and 2 represented the inter-rater reliability groups with or without prior training in RQS, respectively; group 3 represented the intra-rater reliability group. Thirty-three original research papers on radiomics were evaluated by raters of groups 1 and 2. Of the 33 papers, 17 were evaluated twice with an interval of 1 month by raters of group 3. Intraclass coefficient (ICC) for continuous variables, and Fleiss' and Cohen's kappa (k) statistics for categorical variables were used. RESULTS The inter-rater reliability was poor to moderate for total RQS (ICC 0.30-055, p < 0.001) and very low to good for item's reproducibility (k - 0.12 to 0.75) within groups 1 and 2 for both inexperienced and experienced raters. The intra-rater reliability for total RQS was moderate for the less experienced rater (ICC 0.522, p = 0.009), whereas experienced raters showed excellent intra-rater reliability (ICC 0.91-0.99, p < 0.001) between the first and second read. Intra-rater reliability on RQS items' score reproducibility was higher and most of the items had moderate to good intra-rater reliability (k - 0.40 to 1). CONCLUSIONS Reproducibility of the total RQS and the score of individual RQS items is low. There is a need for a robust and reproducible assessment method to assess the quality of radiomics research. CLINICAL RELEVANCE STATEMENT There is a need for reproducible scoring systems to improve quality of radiomics research and consecutively close the translational gap between research and clinical implementation. KEY POINTS • Radiomics quality score has been widely used for the evaluation of radiomics studies. • Although the intra-rater reliability was moderate to excellent, intra- and inter-rater reliability of total score and point-by-point scores were low with radiomics quality score. • A robust, easy-to-use scoring system is needed for the evaluation of radiomics research.
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Affiliation(s)
- Tugba Akinci D'Antonoli
- Institute of Radiology and Nuclear Medicine, Cantonal Hospital Baselland, Liestal, Switzerland.
| | - Armando Ugo Cavallo
- Division of Radiology, Istituto Dermopatico dell'Immacolata (IDI) IRCCS, Rome, Italy
| | | | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Michail E Klontzas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Greece
- Department of Radiology, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Roberto Cannella
- Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Agah Baran
- MVZ Diagnostikum Berlin Gmbh, Diagnostisches Zentrum, Berlin, Germany
| | | | - Ekaterina Petrash
- Radiology Department, Research Institute of Children Oncology and Haematology of National Medical Research Center of Oncology n.a.N.N. Blokhin of Ministry of Health of RF, Moscow, Russia
| | - Ilaria Ambrosini
- Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy
| | | | - Peter van Ooijen
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Elmar Kotter
- Department of Radiology, University Medical Center Freiburg, Freiburg, Germany
| | - Daniel Pinto Dos Santos
- Department of Radiology, University Hospital of Cologne, Cologne, Germany
- Department of Radiology, University Hospital of Frankfurt, Frankfurt, Germany
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
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Kocak B, Akinci D'Antonoli T, Mercaldo N, Alberich-Bayarri A, Baessler B, Ambrosini I, Andreychenko AE, Bakas S, Beets-Tan RGH, Bressem K, Buvat I, Cannella R, Cappellini LA, Cavallo AU, Chepelev LL, Chu LCH, Demircioglu A, deSouza NM, Dietzel M, Fanni SC, Fedorov A, Fournier LS, Giannini V, Girometti R, Groot Lipman KBW, Kalarakis G, Kelly BS, Klontzas ME, Koh DM, Kotter E, Lee HY, Maas M, Marti-Bonmati L, Müller H, Obuchowski N, Orlhac F, Papanikolaou N, Petrash E, Pfaehler E, Pinto Dos Santos D, Ponsiglione A, Sabater S, Sardanelli F, Seeböck P, Sijtsema NM, Stanzione A, Traverso A, Ugga L, Vallières M, van Dijk LV, van Griethuysen JJM, van Hamersvelt RW, van Ooijen P, Vernuccio F, Wang A, Williams S, Witowski J, Zhang Z, Zwanenburg A, Cuocolo R. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII. Insights Imaging 2024; 15:8. [PMID: 38228979 DOI: 10.1186/s13244-023-01572-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/20/2023] [Indexed: 01/18/2024] Open
Abstract
PURPOSE To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. METHODS We conducted an online modified Delphi study with a group of international experts. It was performed in three consecutive stages: Stage#1, item preparation; Stage#2, panel discussion among EuSoMII Auditing Group members to identify the items to be voted; and Stage#3, four rounds of the modified Delphi exercise by panelists to determine the items eligible for the METRICS and their weights. The consensus threshold was 75%. Based on the median ranks derived from expert panel opinion and their rank-sum based conversion to importance scores, the category and item weights were calculated. RESULT In total, 59 panelists from 19 countries participated in selection and ranking of the items and categories. Final METRICS tool included 30 items within 9 categories. According to their weights, the categories were in descending order of importance: study design, imaging data, image processing and feature extraction, metrics and comparison, testing, feature processing, preparation for modeling, segmentation, and open science. A web application and a repository were developed to streamline the calculation of the METRICS score and to collect feedback from the radiomics community. CONCLUSION In this work, we developed a scoring tool for assessing the methodological quality of the radiomics research, with a large international panel and a modified Delphi protocol. With its conditional format to cover methodological variations, it provides a well-constructed framework for the key methodological concepts to assess the quality of radiomic research papers. CRITICAL RELEVANCE STATEMENT A quality assessment tool, METhodological RadiomICs Score (METRICS), is made available by a large group of international domain experts, with transparent methodology, aiming at evaluating and improving research quality in radiomics and machine learning. KEY POINTS • A methodological scoring tool, METRICS, was developed for assessing the quality of radiomics research, with a large international expert panel and a modified Delphi protocol. • The proposed scoring tool presents expert opinion-based importance weights of categories and items with a transparent methodology for the first time. • METRICS accounts for varying use cases, from handcrafted radiomics to entirely deep learning-based pipelines. • A web application has been developed to help with the calculation of the METRICS score ( https://metricsscore.github.io/metrics/METRICS.html ) and a repository created to collect feedback from the radiomics community ( https://github.com/metricsscore/metrics ).
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Affiliation(s)
- Burak Kocak
- Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, Istanbul, Turkey
| | - Tugba Akinci D'Antonoli
- Institute of Radiology and Nuclear Medicine, Cantonal Hospital Baselland, Liestal, Switzerland.
| | - Nathaniel Mercaldo
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Bettina Baessler
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
| | - Ilaria Ambrosini
- Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy
| | - Anna E Andreychenko
- Laboratory for Digital Public Health Technologies, ITMO University, St. Petersburg, Russian Federation
| | - Spyridon Bakas
- Division of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA
- Center for Federated Learning in Precision Medicine, Indiana University, Indianapolis, IN, USA
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Keno Bressem
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Irene Buvat
- Institut Curie, Inserm, PSL University, Laboratory of Translational Imaging in Oncology, Orsay, France
| | - Roberto Cannella
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | | | - Armando Ugo Cavallo
- Division of Radiology, Istituto Dermopatico dell'Immacolata (IDI) IRCCS, Rome, Italy
| | - Leonid L Chepelev
- Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada
| | - Linda Chi Hang Chu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Aydin Demircioglu
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital , Essen, Germany
| | - Nandita M deSouza
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
- Department of Imaging, The Royal Marsden National Health Service (NHS) Foundation Trust, London, UK
| | - Matthias Dietzel
- Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | | | - Andrey Fedorov
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laure S Fournier
- Department of Radiology, Université Paris Cité, AP-HP, Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris, France
| | | | - Rossano Girometti
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Kevin B W Groot Lipman
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Georgios Kalarakis
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Science, Division of Radiology, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Medical School, University of Crete, Heraklion, Greece
| | - Brendan S Kelly
- Department of Radiology, St Vincent's University Hospital, Dublin, Ireland
- Insight Centre for Data Analytics, UCD, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Michail E Klontzas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Greece
- Department of Radiology, School of Medicine, University of Crete, Heraklion, Crete, Greece
- Computational Biomedicine Laboratory, Institute of Computer Science, FORTH, Heraklion, Crete, Greece
| | - Dow-Mu Koh
- Department of Radiology, Royal Marsden Hospital, Sutton, UK
| | - Elmar Kotter
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Mario Maas
- Department of Radiology & Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - Luis Marti-Bonmati
- Medical Imaging Department and Biomedical Imaging Research Group, Hospital Universitario y Politécnico La Fe and Health Research Institute, Valencia, Spain
| | - Henning Müller
- University of Applied Sciences of Western Switzerland (HES-SO Valais), Sierra, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva (UniGe), Geneva, Switzerland
| | - Nancy Obuchowski
- Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Fanny Orlhac
- Institut Curie, Inserm, PSL University, Laboratory of Translational Imaging in Oncology, Orsay, France
| | - Nikolaos Papanikolaou
- Computational Clinical Imaging Group, Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal
- Department of Radiology, Royal Marsden Hospital and The Institute of Cancer Research, London, UK
| | - Ekaterina Petrash
- Radiology department, Research Institute of Pediatric Oncology and Hematology n. a. L.A. Durnov, National Medical Research Center of Oncology n. a. N.N. Blokhin Ministry of Health of Russian Federation, Moscow, Russia
- Medical Department IRA-Labs, Moscow, Russia
| | - Elisabeth Pfaehler
- Institute for advanced simulation (IAS-8): Machine learning and data analytics, Forschungszentrum Jülich, Jülich, Germany
| | - Daniel Pinto Dos Santos
- Department of Radiology, University Hospital of Cologne, Cologne, Germany
- Institute for Diagnostic and Interventional Radiology, Goethe-University Frankfurt Am Main, Frankfurt, Germany
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Sebastià Sabater
- Department of Radiation Oncology, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | - Francesco Sardanelli
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
- Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Philipp Seeböck
- Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Nanna M Sijtsema
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Alberto Traverso
- Department of Radiotherapy, Maastro Clinic, Maastricht, the Netherlands
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, Canada
- Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Sherbrooke, Canada
| | - Lisanne V van Dijk
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Robbert W van Hamersvelt
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Peter van Ooijen
- Department of Radiotherapy, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Federica Vernuccio
- Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnosis (Bi.N.D), University of Palermo, Palermo, 90127, Italy
| | - Alan Wang
- Centre for Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Stuart Williams
- Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, UK
| | - Jan Witowski
- Department of Radiology, New York University Grossman School of Medicine, New York, USA
| | - Zhongyi Zhang
- School of Information and Communication Technology, Griffith University, Nathan, Brisbane, Australia
| | - Alex Zwanenburg
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
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Sinno E, Panegrossi G, Rovere G, Cavallo AU, Falez F. Influence of posterior tibial slope on postoperative outcomes after postero-stabilized and condylar-stabilized total knee arthroplasty. Musculoskelet Surg 2023; 107:385-390. [PMID: 36370251 DOI: 10.1007/s12306-022-00768-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 11/04/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE To compare clinical outcomes and surgical times of two different types of total knee arthroplasty(TKA), postero-stabilized(PS) and condylar-stabilized(CS), in relation to posterior tibial slope(PTS) values and the deviation of these values from the surgical technique. METHODS 168 patients undergoing TKA surgery between 2016 and 2020 met our inclusion criteria. For each case, gender, age at surgery, operating time, type of implant and preoperative PTS(preop-PTS) and postoperative PTS(postop-PTS) measurements were collected; difference(∆PTS) between preop-PTS and postop-PTS was also calculated. Short Form 12 Mental and Physical scores(SF-12 M and P) and functional Knee Society Score(fKSS) were collected preoperatively and at a minimum of 12 months postoperatively. Four subgroups were thus created in relation to PS or CS system and postop-PTS value(≤ 5°and > 5°). RESULTS Of the 168 patients, 96 had a PS system and 72 CS system. Performing a CS-TKA took less time than a PS-TKA(p < 0.05). SF-12P showed better results(p < 0.05) in CS-TKA group than PS-TKA, probably because of the younger age of CS-TKA patients(p < 0.05). In the PS > 5° all examined postoperative scores were better(p < 0.05) than PS ≤ 5°, while only fKSS was better(p < 0.05) in CS > 5° than CS ≤ 5°. No significant difference(p > 0.05) in terms of postoperative outcomes between the PS > 5° and CS > 5° was noted, whereas only SF-12P was better in the CS ≤ 5° compared with PS ≤ 5°. Highest values of SF-12 M and fKSS were obtained in the PS ≤ 5°, in which postop-PTS was closer to technique. CONCLUSION When performing a PS-TKA, the best result was obtained with a postop-PTS > 5°, but comparable outcomes between the two systems were evident with postop-PTS > 5°. It is crucial to come as close as possible to the indications reported in surgical technique regardless ∆PTS.
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Affiliation(s)
- E Sinno
- Orthopaedic and Traumatology Department, S. Spirito Hospital, Lungotevere in Sassia 1, 00193, Rome, Italy.
| | - G Panegrossi
- Orthopaedic and Traumatology Department, S. Spirito Hospital, Lungotevere in Sassia 1, 00193, Rome, Italy
| | - G Rovere
- Orthopaedic and Traumatology Department, S. Spirito Hospital, Lungotevere in Sassia 1, 00193, Rome, Italy
- Department of Orthopaedics and Traumatology, Fondazione Policlinico Universitario A. Gemelli IRCCS-Università Cattolica del Sacro Cuore, Rome, Italy
| | - A U Cavallo
- Department of Biomedicine and Prevention, University "Tor Vergata", Rome, Italy
- Division of Radiology, San Carlo Di Nancy Hospital", GVM Care and Research, Rome, Italy
| | - F Falez
- Department of Orthopaedics and Traumatology, S. Filippo Neri Hospital, ASL Roma 1 Martinotti 20, 00135, Rome, Via G, Italy
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Da Ros V, Duggento A, Cavallo AU, Bellini L, Pitocchi F, Toschi N, Mascolo AP, Sallustio F, Di Giuliano F, Diomedi M, Floris R, Garaci F, Zeleňák K, Maestrini I. Can machine learning of post-procedural cone-beam CT images in acute ischemic stroke improve the detection of 24-h hemorrhagic transformation? A preliminary study. Neuroradiology 2023; 65:599-608. [PMID: 36280607 DOI: 10.1007/s00234-022-03070-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/12/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE Hemorrhagic transformation (HT) is an independent predictor of unfavorable outcome in acute ischemic stroke (AIS) patients undergoing endovascular thrombectomy (EVT). Its early identification could help tailor AIS management. We hypothesize that machine learning (ML) applied to cone-beam computed tomography (CB-CT), immediately after EVT, improves performance in 24-h HT prediction. METHODS We prospectively enrolled AIS patients undergoing EVT, post-procedural CB-CT, and 24-h non-contrast CT (NCCT). Three raters independently analyzed imaging at four anatomic levels qualitatively and quantitatively selecting a region of interest (ROI) < 5 mm2. Each ROI was labeled as "hemorrhagic" or "non-hemorrhagic" depending on 24-h NCCT. For each level of CB-CT, Mean Hounsfield Unit (HU), minimum HU, maximum HU, and signal- and contrast-to-noise ratios were calculated, and the differential HU-ROI value was compared between both hemispheres. The number of anatomic levels affected was computed for lesion volume estimation. ML with the best validation performance for 24-h HT prediction was selected. RESULTS One hundred seventy-two ROIs from affected hemispheres of 43 patients were extracted. Ninety-two ROIs were classified as unremarkable, whereas 5 as parenchymal contrast staining, 29 as ischemia, 7 as subarachnoid hemorrhages, and 39 as HT. The Bernoulli Naïve Bayes was the best ML classifier with a good performance for 24-h HT prediction (sensitivity = 1.00; specificity = 0.75; accuracy = 0.82), though precision was 0.60. CONCLUSION ML demonstrates high-sensitivity but low-accuracy 24-h HT prediction in AIS. The automated CB-CT imaging evaluation resizes sensitivity, specificity, and accuracy rates of visual interpretation reported in the literature so far. A standardized quantitative interpretation of CB-CT may be warranted to overcome the inter-operator variability.
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Affiliation(s)
- Valerio Da Ros
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Andrea Duggento
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Armando Ugo Cavallo
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Luigi Bellini
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Francesca Pitocchi
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Alfredo Paolo Mascolo
- Stroke Center, Department of Systems Medicine, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Fabrizio Sallustio
- Stroke Center, Department of Systems Medicine, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Francesca Di Giuliano
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Marina Diomedi
- Stroke Center, Department of Systems Medicine, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Francesco Garaci
- Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy
| | - Kamil Zeleňák
- Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03659, Martin, Slovakia
| | - Ilaria Maestrini
- Stroke Center, Department of Systems Medicine, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
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Chiocchi M, Cavallo AU, Pugliese L, Cesareni M, Pasquali D, Accardo G, De Stasio V, Spiritigliozzi L, Benelli L, D’Errico F, Cerimele C, Floris R, Garaci F, Di Donna C. Cardiac Computed Tomography Evaluation of Association of Left Ventricle Disfunction and Epicardial Adipose Tissue Density in Patients with Low to Intermediate Cardiovascular Risk. Medicina (Kaunas) 2023; 59:medicina59020232. [PMID: 36837434 PMCID: PMC9960536 DOI: 10.3390/medicina59020232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/06/2023] [Accepted: 01/19/2023] [Indexed: 01/28/2023]
Abstract
Background and objectives: Epicardial adipose tissue density (EAD) has been associated with coronary arteries calcium score, a higher load of coronary artery disease (CAD) and plaque vulnerability. This effect can be related to endocrine and paracrine effect of molecules produced by epicardial adipose tissue (EAT), that may influence myocardial contractility. Using coronary computed tomography angiography (CCT) the evaluation of EAD is possible in basal scans. The aim of the study is to investigate possible associations between EAD and cardiac function. Material and Methods: 93 consecutive patients undergoing CCT without and with contrast medium for known or suspected coronary CAD were evaluated. EAD was measured on basal scans, at the level of the coronary ostia, the lateral free wall of the left ventricle, at the level of the cardiac apex, and at the origin of the posterior interventricular artery. Cardiac function was evaluated in post-contrast CT scans in order to calculate ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), and stroke volume (SV). Results: A statistically significant positive correlation between EAD and ejection fraction (r = 0.29, p-value < 0.01) was found. Additionally, a statistically significant negative correlation between EAD and ESV (r = -0.25, p-value < 0.01) was present. Conclusion: EAD could be considered a new risk factor associated with reduced cardiac function. The evaluation of this parameter with cardiac CT in patients with low to intermediate cardiovascular risk is possible.
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Affiliation(s)
- Marcello Chiocchi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
- Correspondence: ; Tel.: +39-3473154183
| | - Armando Ugo Cavallo
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
- Division of Radiology, Istituto Dermopatico dell’Immacolata, 00167 Rome, Italy
| | - Luca Pugliese
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Matteo Cesareni
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Daniela Pasquali
- Dipartimento di Scienze Mediche e Chirurgiche Avanzate, Università degli Studi della Campania Luigi Vanvitelli, 81100 Caserta, Italy
| | - Giacomo Accardo
- ASL Salerno Ds 63 Poliambulatorio Costa d’Amalfi, 84013 Salerno, Italy
| | - Vincenzo De Stasio
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Luigi Spiritigliozzi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Leonardo Benelli
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Francesca D’Errico
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Cecilia Cerimele
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Francesco Garaci
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
- IRCSS San Raffaele, 03043 Cassino, Italy
| | - Carlo Di Donna
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
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Cavallo AU, Di Donna C, Troisi J, Cerimele C, Cesareni M, Chiocchi M, Floris R, Garaci F. Radiomics analysis of short tau inversion recovery images in cardiac magnetic resonance for the prediction of late gadolinium enhancement in patients with acute myocarditis. Magn Reson Imaging 2022; 94:168-173. [PMID: 36116711 DOI: 10.1016/j.mri.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/31/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022]
Abstract
RATIONALE AND OBJECTIVES Cardiac Magnetic Resonance (CMR) imaging is recommended as the reference diagnostic non-invasive modality for myocarditis but is often limited by patients' compliance. The purpose of this study is to evaluate the validity of Radiomics applied to Short Tau Inversion Recovery (STIR) sequences, in predicting the presence of LGE in patients with suspected acute myocarditis. MATERIALS AND METHODS 171 STIR images on short-axis view were segmented with "MaZda" software ver 4.6, by placing a region of interest (ROI) on the left ventricle by two radiologists in consensus. Images were classified according to the presence of LGE in the equivalent short-axis T1-IR slice. A total of 337 ROI features were extracted for each image. Dataset was then split into two parts (train and test set) with 70:30 ratio. RESULTS Eleven classification models were trained. An Ensemble Machine Learning (EML) model was obtained by averaging the predictions of models with accuracy on test set >70%. The EML documented accuracy of 0.75, sensitivity of 0.8 and a specificity of 0.73 with a NPV of 0.81 and a PPV of 0.7, with AUC of 0.79 (95% CI: 0.66-0.92). CONCLUSION Radiomics and machine learning analysis could be a promising approach in reducing scan times without reducing diagnostic accuracy in predicting LGE in patients with acute myocarditis.
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Affiliation(s)
- Armando Ugo Cavallo
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy; Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, Rome, Italy
| | - Carlo Di Donna
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
| | - Jacopo Troisi
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Italy; Theoreo srl - Spin-off company of the University of Salerno, Italy
| | | | | | | | - Roberto Floris
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy
| | - Francesco Garaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy; San Raffaele Cassino, Cassino, FR, Italy
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Cavallo AU, Troisi J, Muscogiuri E, Cavallo P, Rajagopalan S, Citro R, Bossone E, McVeigh N, Forte V, Di Donna C, Giannini F, Floris R, Garaci F, Sperandio M. Cardiac Computed Tomography Radiomics-Based Approach for the Detection of Left Ventricular Remodeling in Patients with Arterial Hypertension. Diagnostics (Basel) 2022; 12:diagnostics12020322. [PMID: 35204413 PMCID: PMC8871253 DOI: 10.3390/diagnostics12020322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 01/17/2022] [Accepted: 01/24/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of the study is to verify the feasibility of a radiomics based approach for the detection of LV remodeling in patients with arterial hypertension. Cardiac Computed Tomography (CCT) and clinical data of patients with and without history of arterial hypertension were collected. In one image per patient, on a 4-chamber view, left ventricle (LV) was segmented using a polygonal region of interest by two radiologists in consensus. A total of 377 radiomics features per region of interest were extracted. After dataset splitting (70:30 ratio), eleven classification models were tested for the discrimination of patients with and without arterial hypertension based on radiomics data. An Ensemble Machine Learning (EML) score was calculated from models with an accuracy >60%. Boruta algorithm was used to extract radiomic features discriminating between patients with and without history of hypertension. Pearson correlation coefficient was used to assess correlation between EML score and septum width in patients included in the test set. EML showed an accuracy, sensitivity and specificity of 0.7. Correlation between EML score and LV septum width was 0.53 (p-value < 0.0001). We considered LV septum width as a surrogate of myocardial remodeling in our population, and this is the reason why we can consider the EML score as a possible tool to evaluate myocardial remodeling. A CCT-based radiomic approach for the identification of LV remodeling is possible in patients with past medical history of arterial hypertension.
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Affiliation(s)
- Armando Ugo Cavallo
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy; (C.D.D.); (R.F.); (F.G.)
- Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, 00165 Rome, Italy; (V.F.); (M.S.)
- Correspondence: ; Tel.: +39-333-903-3702
| | - Jacopo Troisi
- Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana”, University of Salerno, 84100 Salerno, Italy; or
- Theoreo srl—Spin-Off Company of the University of Salerno, 84100 Salerno, Italy
| | - Emanuele Muscogiuri
- Radiology Department, Ospedale S. Andrea, Sapienza—Università di Roma, 00189 Rome, Italy;
| | - Pierpaolo Cavallo
- Department of Physics “E.R. Caianello”, University of Salerno, 84100 Salerno, Italy;
- Istituto Sistemi Complessi—Consiglio Nazionale delle Ricerche (CNR), 00185 Rome, Italy
| | - Sanjay Rajagopalan
- Division of Cardiovascular Medicine, Harrington Heart and Vascular Institute, Cleveland, OH 44106, USA;
| | - Rodolfo Citro
- Division of Cardiology, University Hosptal “San Giovanni di Dio e Ruggi D’Aragona”, 84100 Salerno, Italy;
| | - Eduardo Bossone
- Cardiology Division, “A. Cardarelli” Hospital, 80131 Naples, Italy;
| | - Niall McVeigh
- Department of Radiology, St Vincent’s University Hospital, Merrion Road, D04 T6F4 Dublin, Ireland;
- School of Medicine, University College Dublin, D04 T6F4 Dublin, Ireland
| | - Valerio Forte
- Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, 00165 Rome, Italy; (V.F.); (M.S.)
| | - Carlo Di Donna
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy; (C.D.D.); (R.F.); (F.G.)
| | - Francesco Giannini
- Division of Cardiology, Maria Cecilia Hospital, GVM Care and Research, 48033 Cotignola, Italy;
| | - Roberto Floris
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy; (C.D.D.); (R.F.); (F.G.)
| | - Francesco Garaci
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy; (C.D.D.); (R.F.); (F.G.)
- San Raffaele Cassino, 03043 Cassino, Italy
| | - Massimiliano Sperandio
- Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, 00165 Rome, Italy; (V.F.); (M.S.)
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Kudo T, Lahey R, Hirschfeld CB, Williams MC, Lu B, Alasnag M, Bhatia M, Henry Bom HS, Dautov T, Fazel R, Karthikeyan G, Keng FY, Rubinshtein R, Better N, Cerci RJ, Dorbala S, Raggi P, Shaw LJ, Villines TC, Vitola JV, Choi AD, Malkovskiy E, Goebel B, Cohen YA, Randazzo M, Pascual TN, Pynda Y, Dondi M, Paez D, Einstein AJ, Einstein AJ, Paez D, Dondi M, Better N, Cerci R, Dorbala S, Pascual TN, Raggi P, Shaw LJ, Villines TC, Vitola JV, Williams MC, Pynda Y, Hinterleitner G, Lu Y, Morozova O, Xu Z, Hirschfeld CB, Cohen Y, Goebel B, Malkovskiy E, Randazzo M, Choi A, Lopez-Mattei J, Parwani P, Nasery MN, Goda A, Shirka E, Benlabgaa R, Bouyoucef S, Medjahedi A, Nailli Q, Agolti M, Aguero RN, Alak MDC, Alberguina LG, Arroñada G, Astesiano A, Astesiano A, Norton CB, Benteo P, Blanco J, Bonelli JM, Bustos JJ, Cabrejas R, Cachero J, Campisi R, Canderoli A, Carames S, Carrascosa P, Castro R, Cendoya O, Cognigni LM, Collaud C, Collaud C, Cortes C, Courtis J, Cragnolino D, Daicz M, De La Vega A, De Maria ST, Del Riego H, Dettori F, Deviggiano A, Dragonetti L, Embon M, Enriquez RE, Ensinas J, Faccio F, Facello A, Topping W, Tweed K, Weir-Mccall J, Abbara S, Abbasi T, Abbott B, Abohashem S, Abramson S, Al-Abboud T, Al-Mallah M, Garofalo D, Almousalli O, Ananthasubramaniam K, Kumar MA, Askew J, Attanasio L, Balmer-Swain M, Bayer RR, Bernheim A, Bhatti S, Bieging E, Geronazzo R, Blankstein R, Bloom S, Blue S, Bluemke D, Borges A, Branch K, Bravo P, Brothers J, Budoff M, Bullock-Palmer R, Gonza N, Burandt A, Burke FW, Bush K, Candela C, Capasso E, Cavalcante J, Chang D, Chatterjee S, Chatzizisis Y, Cheezum M, Gutierrez L, Chen T, Chen J, Chen M, Choi A, Clarcq J, Cordero A, Crim M, Danciu S, Decter B, Dhruva N, Guzzo MA, Doherty N, Doukky R, Dunbar A, Duvall W, Edwards R, Esquitin K, Farah H, Fentanes E, Ferencik M, Fisher D, Guzzo MA, Fitzpatrick D, Foster C, Fuisz T, Gannon M, Gastner L, Gerson M, Ghoshhajra B, Goldberg A, Goldner B, Gonzalez J, Hasbani V, Gore R, Gracia-López S, Hage F, Haider A, Haider S, Hamirani Y, Hassen K, Hatfield M, Hawkins C, Hawthorne K, Huerin M, Heath N, Hendel R, Hernandez P, Hill G, Horgan S, Huffman J, Hurwitz L, Iskandrian A, Janardhanan R, Jellis C, Jäger V, Jerome S, Kalra D, Kaviratne S, Kay F, Kelly F, Khalique O, Kinkhabwala M, Iii GK, Kircher J, Kirkbride R, Lewkowicz JM, Kontos M, Kottam A, Krepp J, Layer J, Lee SH, Leppo J, Lesser J, Leung S, Lewin H, Litmanovich D, López De Munaín MNA, Liu Y, Lopez-Mattei J, Magurany K, Markowitz J, Marn A, Matis SE, Mckenna M, Mcrae T, Mendoza F, Merhige M, Lotti JM, Min D, Moffitt C, Moncher K, Moore W, Morayati S, Morris M, Mossa-Basha M, Mrsic Z, Murthy V, Nagpal P, Marquez A, Napier K, Nelson K, Nijjar P, Osman M, Parwani P, Passen E, Patel A, Patil P, Paul R, Phillips L, Masoli O, Polsani V, Poludasu R, Pomerantz B, Porter T, Prentice R, Pursnani A, Rabbat M, Ramamurti S, Rich F, Luna HR, Masoli OH, Robinson A, Robles K, Rodríguez C, Rorie M, Rumberger J, Russell R, Sabra P, Sadler D, Schemmer M, Schoepf UJ, Mastrovito E, Shah S, Shah N, Shanbhag S, Sharma G, Shayani S, Shirani J, Shivaram P, Sigman S, Simon M, Slim A, Mayoraz M, Smith D, Smith A, Soman P, Sood A, Srichai-Parsia MB, Streeter J, T A, Tawakol A, Thomas D, Thompson R, Melado GE, Torbet T, Trinidad D, Ullery S, Unzek S, Uretsky S, Vallurupalli S, Verma V, Waller A, Wang E, Ward P, Mele A, Weissman G, Wesbey G, White K, Winchester D, Wolinsky D, Yost S, Zgaljardic M, Alonso O, Beretta M, Ferrando R, Merani MF, Kapitan M, Mut F, Djuraev O, Rozikhodjaeva G, Le Ngoc H, Mai SH, Nguyen XC, Meretta AH, Molteni S, Montecinos M, Noguera E, Novoa C, Sueldo CP, Ascani SP, Pollono P, Pujol MP, Radzinschi A, Raimondi G, Redruello M, Rodríguez M, Rodríguez M, Romero RL, Acuña AR, Rovaletti F, San Miguel L, Solari L, Strada B, Traverso S, Traverzo SS, Espeche MDHV, Weihmuller JS, Wolcan J, Zeffiro S, Sakanyan M, Beuzeville S, Boktor R, Butler P, Calcott J, Carr L, Chan V, Chao C, Chong W, Dobson M, Downie D, Dwivedi G, Elison B, Engela J, Francis R, Gaikwad A, Basavaraj AG, Goodwin B, Greenough R, Hamilton-Craig C, Hsieh V, Joshi S, Lederer K, Lee K, Lee J, Magnussen J, Mai N, Mander G, Murton F, Nandurkar D, Neill J, O'Rourke E, O'Sullivan P, Pandos G, Pathmaraj K, Pitman A, Poulter R, Premaratne M, Prior D, Ridley L, Rutherford N, Salehi H, Saunders C, Scarlett L, Seneviratne S, Shetty D, Shrestha G, Shulman J, Solanki V, Stanton T, Stuart M, Stubbs M, Swainson I, Taubman K, Taylor A, Thomas P, Unger S, Upton A, Vamadevan S, Van Gaal W, Verjans J, Voutnis D, Wayne V, Wilson P, Wong D, Wong K, Younger J, Feuchtner G, Mirzaei S, Weiss K, Maroz-Vadalazhskaya N, Gheysens O, Homans F, Moreno-Reyes R, Pasquet A, Roelants V, Van De Heyning CM, Ríos RA, Soldat-Stankovic V, Stankovic S, Albernaz Siqueira MH, Almeida A, Alves Togni PH, Andrade JH, Andrade L, Anselmi C, Araújo R, Azevedo G, Bezerra S, Biancardi R, Grossman GB, Brandão S, Pianta DB, Carreira L, Castro B, Chang T, Cunali F, Cury R, Dantas R, de Amorim Fernandes F, De Lorenzo A, De Macedo Filho R, Erthal F, Fernandes F, Fernandes J, Fernandes F, De Souza TF, Alves WF, Ghini B, Goncalves L, Gottlieb I, Hadlich M, Kameoka V, Lima R, Lima A, Lopes RW, Machado e Silva R, Magalhães T, Silva FM, Mastrocola LE, Medeiros F, Meneghetti JC, Naue V, Naves D, Nolasco R, Nomura C, Oliveira JB, Paixao E, De Carvalho FP, Pinto I, Possetti P, Quinta M, Nogueira Ramos RR, Rocha R, Rodrigues A, Rodrigues C, Romantini L, Sanches A, Santana S, Sara da Silva L, Schvartzman P, Matushita CS, Senra T, Shiozaki A, Menezes de Siqueira ME, Siqueira C, Smanio P, Soares CE, Junior JS, Bittencourt MS, Spiro B, Mesquita CT, Torreao J, Torres R, Uellendahl M, Monte GU, Veríssimo O, Cabeda EV, Pedras FV, Waltrick R, Zapparoli M, Naseer H, Garcheva-Tsacheva M, Kostadinova I, Theng Y, Abikhzer G, Barette R, Chow B, Dabreo D, Friedrich M, Garg R, Hafez MN, Johnson C, Kiess M, Leipsic J, Leung E, Miller R, Oikonomou A, Probst S, Roifman I, Small G, Tandon V, Trivedi A, White J, Zukotynski K, Canessa J, Muñoz GC, Concha C, Hidalgo P, Lovera C, Massardo T, Vargas LS, Abad P, Arturo H, Ayala S, Benitez L, Cadena A, Caicedo C, Moncayo AC, Moncayo AC, Gomez S, Gutierrez Villamil CT, Jaimes C, Londoño J, Londoño Blair JL, Pabon L, Pineda M, Rojas JC, Ruiz D, Escobar MV, Vasquez A, Vergel D, Zuluaga A, Gamboa IB, Castro G, González U, Baric A, Batinic T, Franceschi M, Paar MH, Jukic M, Medakovic P, Persic V, Prpic M, Punda A, Batista JF, Gómez Lauchy JM, Gutierrez YM, Gutierrez YM, Menéndez R, Peix A, Rochela L, Panagidis C, Petrou I, Engelmann V, Kaminek M, Kincl V, Lang O, Simanek M, Abdulla J, Bøttcher M, Christensen M, Gormsen LC, Hasbak P, Hess S, Holdgaard P, Johansen A, Kyhl K, Norgaard BL, Øvrehus KA, Rønnow Sand NP, Steffensen R, Thomassen A, Zerahn B, Perez A, Escorza Velez GA, Velez MS, Abdel Aziz IS, Abougabal M, Ahmed T, Allam A, Asfour A, Hassan M, Hassan A, Ibrahim A, Kaffas S, Kandeel A, Ali MM, Mansy A, Maurice H, Nabil S, Shaaban M, Flores AC, Poksi A, Knuuti J, Kokkonen V, Larikka M, Uusitalo V, Bailly M, Burg S, Deux JF, Habouzit V, Hyafil F, Lairez O, Proffit F, Regaieg H, Sarda-Mantel L, Tacher V, Schneider RP, Ayetey H, Angelidis G, Archontaki A, Chatziioannou S, Datseris I, Fragkaki C, Georgoulias P, Koukouraki S, Koutelou M, Kyrozi E, Repasos E, Stavrou P, Valsamaki P, Gonzalez C, Gutierrez G, Maldonado A, Buga K, Garai I, Maurovich-Horvat P, Schmidt E, Szilveszter B, Várady E, Banthia N, Bhagat JK, Bhargava R, Bhat V, Bhatia M, Choudhury P, Chowdekar VS, Irodi A, Jain S, Joseph E, Kumar S, Girijanandan Mahapatra PD, Mitra D, Mittal BR, Ozair A, Patel C, Patel T, Patel R, Patel S, Saxena S, Sengupta S, Singh S, Singh B, Sood A, Verma A, Affandi E, Alam PS, Edison E, Gunawan G, Hapkido H, Hidayat B, Huda A, Mukti AP, Prawiro D, Soeriadi EA, Syawaluddin H, Albadr A, Assadi M, Emami F, Houshmand G, Maleki M, Rostami MT, Zakavi SR, Zaid EA, Agranovich S, Arnson Y, Bar-Shalom R, Frenkel A, Knafo G, Lugassi R, Maor Moalem IS, Mor M, Muskal N, Ranser S, Shalev A, Albano D, Alongi P, Arnone G, Bagatin E, Baldari S, Bauckneht M, Bertelli P, Bianco F, Bonfiglioli R, Boni R, Bruno A, Bruno I, Busnardo E, Califaretti E, Camoni L, Carnevale A, Casoni R, Cavallo AU, Cavenaghi G, Chierichetti F, Chiocchi M, Cittanti C, Colletta M, Conti U, Cossu A, Cuocolo A, Cuzzocrea M, De Rimini ML, De Vincentis G, Del Giudice E, Del Torto A, Della Tommasina V, Durmo R, Erba PA, Evangelista L, Faletti R, Faragasso E, Farsad M, Ferro P, Florimonte L, Frantellizzi V, Fringuelli FM, Gatti M, Gaudiano A, Gimelli A, Giubbini R, Giuffrida F, Ialuna S, Laudicella R, Leccisotti L, Leva L, Liga R, Liguori C, Longo G, Maffione M, Mancini ME, Marcassa C, Milan E, Nardi B, Pacella S, Pepe G, Pontone G, Pulizzi S, Quartuccio N, Rampin L, Ricci F, Rossini P, Rubini G, Russo V, Sacchetti GM, Sambuceti G, Scarano M, Sciagrà R, Sperandio M, Stefanelli A, Ventroni G, Zoboli S, Baugh D, Chambers D, Madu E, Nunura F, Asano H, Chimura CM, Fujimoto S, Fujisue K, Fukunaga T, Fukushima Y, Fukuyama K, Hashimoto J, Ichikawa Y, Iguchi N, Imai M, Inaki A, Ishimura H, Isobe S, Kadokami T, Kato T, Kudo T, Kumita S, Maruno H, Mataki H, Miyagawa M, Morimoto R, Moroi M, Nagamachi S, Nakajima K, Nakata T, Nakazato R, Nanasato M, Naya M, Norikane T, Ohta Y, Okayama S, Okizaki A, Otomi Y, Otsuka H, Saito M, Sakata SY, Sarai M, Sato D, Shiraishi S, Suwa Y, Takanami K, Takehana K, Taki J, Tamaki N, Taniguchi Y, Teragawa H, Tomizawa N, Tsujita K, Umeji K, Wakabayashi Y, Yamada S, Yamazaki S, Yoneyama T, Rawashdeh M, Batyrkhanov D, Dautov T, Makhdomi K, Ombati K, Alkandari F, Garashi M, Coie TL, Rajvong S, Kalinin A, Kalnina M, Haidar M, Komiagiene R, Kviecinskiene G, Mataciunas M, Vajauskas D, Picard C, Karim NKA, Reichmuth L, Samuel A, Allarakha MA, Naojee AS, Alexanderson-Rosas E, Barragan E, González-Montecinos AB, Cabada M, Rodriguez DC, Carvajal-Juarez I, Cortés V, Cortés F, De La Peña E, Gama-Moreno M, González L, Ramírez NG, Jiménez-Santos M, Matos L, Monroy E, Morelos M, Ornelas M, Ortga Ramirez JA, Preciado-Anaya A, Preciado-Gutiérrez ÓU, Barragan AP, Rosales Uvera SG, Sandoval S, Tomas MS, Sierra-Galan LM, Sierra-Galan LM, Siu S, Vallejo E, Valles M, Faraggi M, Sereegotov E, Ilic S, Ben-Rais N, Alaoui NI, Taleb S, Pa Myo KP, Thu PS, Ghimire RK, Rajbanshi B, Barneveld P, Glaudemans A, Habets J, Koopmans KP, Manders J, Pool S, Scholte A, Scholtens A, Slart R, Thimister P, Van Asperen EJ, Veltman N, Verschure D, Wagenaar N, Edmond J, Ellis C, Johnson K, Keenan R, Kueh SH(A, Occleshaw C, Sasse A, To A, Van Pelt N, Young C, Cuadra T, Roque Vanegas HB, Soli IA, Issoufou DM, Ayodele T, Madu C, Onimode Y, Efros-Monsen E, Forsdahl SH, Hildre Dimmen JM, Jørgensen A, Krohn I, Løvhaugen P, Bråten AT, Al Dhuhli H, Al Kindi F, Al-Bulushi N, Jawa Z, Tag N, Afzal MS, Fatima S, Younis MN, Riaz M, Saadullah M, Herrera Y, Lenturut-Katal D, Vázquez MC, Ortellado J, Akhter A, Cao D, Cheung S, Dai X, Gong L, Han D, Hou Y, Li C, Li T, Li D, Li S, Liu J, Liu H, Lu B, Ng MY, Sun K, Tang G, Wang J, Wang X, Wang ZQ, Wang Y, Wang Y, Wu J, Wu Z, Xia L, Xiao J, Xu L, Yang Y, Yin W, Yu J, Yuan L, Zhang T, Zhang L, Zhang YG, Zhang X, Zhu L, Alfaro A, Abrihan P, Barroso A, Cruz E, Gomez MR, Magboo VP, Medina JM, Obaldo J, Pastrana D, Pawhay CM, Quinon A, Tang JM, Tecson B, Uson KJ, Uy M, Kostkiewicz M, Kunikowska J, Bettencourt N, Cantinho G, Ferreira A, Syed G, Arnous S, Atyani S, Byrne A, Gleeson T, Kerins D, Meehan C, Murphy D, Murphy M, Murray J, O'Brien J, Bang JI, Bom H, Cho SG, Hong CM, Jang SJ, Jeong YH, Kang WJ, Kim JY, Lee J, Namgung CK, So Y, Won KS, Majstorov V, Vavlukis M, Salobir BG, Štalc M, Benedek T, Benedek I, Mititelu R, Stan CA, Ansheles A, Dariy O, Drozdova O, Gagarina N, Gulyaev VM, Itskovich I, Karalkin A, Kokov A, Migunova E, Pospelov V, Ryzhkova D, Saifullina G, Sazonova S, Sergienko V, Shurupova I, Trifonova T, Ussov WY, Vakhromeeva M, Valiullina N, Zavadovsky K, Zhuravlev K, Alasnag M, Okarvi S, Saranovic DS, Keng F, Jason See JH, Sekar R, Yew MS, Vondrak A, Bejai S, Bennie G, Bester R, Engelbrecht G, Evbuomwan O, Gongxeka H, Vuuren MJ, Kaplan M, Khushica P, Lakhi H, Louw L, Malan N, Milos K, Modiselle M, More S, Naidoo M, Scholtz L, Vangu M, Aguadé-Bruix S, Blanco I, Cabrera A, Camarero A, Casáns-Tormo I, Cuellar-Calabria H, Flotats A, Fuentes Cañamero ME, García ME, Jimenez-Heffernan A, Leta R, Diaz JL, Lumbreras L, Marquez-Cabeza JJ, Martin F, Martinez de Alegria A, Medina F, Canal MP, Peiro V, Pubul-Nuñez V, Rayo Madrid JI, Rey CR, Perez RR, Ruiz J, Hernández GS, Sevilla A, Zeidán N, Nanayakkara D, Udugama C, Simonsson M, Alkadhi H, Buechel RR, Burger P, Ceriani L, De Boeck B, Gräni C, Juillet de Saint Lager Lucas A, Kamani CH, Kawel-Boehm N, Manka R, Prior JO, Rominger A, Vallée JP, Khiewvan B, Premprabha T, Thientunyakit T, Sellem A, Kir KM, Sayman H, Sebikali MJ, Muyinda Z, Kmetyuk Y, Korol P, Mykhalchenko O, Pliatsek V, Satyr M, Albalooshi B, Ahmed Hassan MI, Anderson J, Bedi P, Biggans T, Bularga A, Bull R, Burgul R, Carpenter JP, Coles D, Cusack D, Deshpande A, Dougan J, Fairbairn T, Farrugia A, Gopalan D, Gummow A, Ramkumar PG, Hamilton M, Harbinson M, Hartley T, Hudson B, Joshi N, Kay M, Kelion A, Khokhar A, Kitt J, Lee K, Low C, Mak SM, Marousa N, Martin J, Mcalindon E, Menezes L, Morgan-Hughes G, Moss A, Murray A, Nicol E, Patel D, Peebles C, Pugliese F, Luis Rodrigues JC, Rofe C, Sabharwal N, Schofield R, Semple T, Sharma N, Strouhal P, Subedi D. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia. JACC: Asia 2021; 1:187-199. [PMID: 36338167 PMCID: PMC9627847 DOI: 10.1016/j.jacasi.2021.06.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/12/2021] [Accepted: 06/29/2021] [Indexed: 11/27/2022]
Abstract
Background The coronavirus disease-2019 (COVID-19) pandemic significantly affected management of cardiovascular disease around the world. The effect of the pandemic on volume of cardiovascular diagnostic procedures is not known. Objectives This study sought to evaluate the effects of the early phase of the COVID-19 pandemic on cardiovascular diagnostic procedures and safety practices in Asia. Methods The International Atomic Energy Agency conducted a worldwide survey to assess changes in cardiovascular procedure volume and safety practices caused by COVID-19. Testing volumes were reported for March 2020 and April 2020 and were compared to those from March 2019. Data from 180 centers across 33 Asian countries were grouped into 4 subregions for comparison. Results Procedure volumes decreased by 47% from March 2019 to March 2020, showing recovery from March 2020 to April 2020 in Eastern Asia, particularly in China. The majority of centers cancelled outpatient activities and increased time per study. Practice changes included implementing physical distancing and restricting visitors. Although COVID testing was not commonly performed, it was conducted in one-third of facilities in Eastern Asia. The most severe reductions in procedure volumes were observed in lower-income countries, where volumes decreased 81% from March 2019 to April 2020. Conclusions The COVID-19 pandemic in Asia caused significant reductions in cardiovascular diagnostic procedures, particularly in low-income countries. Further studies on effects of COVID-19 on cardiovascular outcomes and changes in care delivery are warranted.
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Di Donna C, Cavallo AU, Pugliese L, Ricci F, De Stasio V, Presicce M, Spiritigliozzi L, Di Tosto F, Di Luozzo M, Muscoli S, Benelli L, D'Errico F, Pasqualetto M, Sbordone FP, Grimaldi F, Meschini V, Verzicco R, Romeo F, Floris R, Chiocchi M. Anatomic features in SCAD assessed by CCT: A propensity score matching case control study. Ann Cardiol Angeiol (Paris) 2021; 70:161-167. [PMID: 33958189 DOI: 10.1016/j.ancard.2021.01.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/28/2021] [Indexed: 11/19/2022]
Abstract
PURPOSE Spontaneous coronary artery dissection (SCAD) may occur in middle age population without any cardiovascular risk factor. We retrospectively evaluated anatomic features of 11 patients with SCAD using a coronary arteries computed tomography (CCT), compared to age and sex balanced patients who underwent CCT. MATERIAL AND METHODS CCT was performed in 11 patients (7 females and 4 males) as follow-up in patients with SCAD (left anterior descending - LAD or circumflex artery - Cx) and compared, using the propensity score matching analysis, with 11 healthy patients. Several anatomic features were evaluated: Left main (LM) length, angle between descending coronary artery (LAD) and its first branch, angle between LAD and LM, distance from the annulus to RCA (a-RCA distance) and LM (a-LM distance) ostia and their ratio; ratio between LM length and length a-LM and tortuosity score of the vessel with SCAD. A fluid dynamic analysis has been performed to evaluate the effects on shear stress of vessels wall. RESULTS LM length was significantly shorter in patients with SCAD versus healthy subjects (P=0.01) as well as LM length/a-LM (P=0.03) and the angle between LAD and the first adjacent branch was sharper (P<0.01). Tortuosity score showed a statistically significant difference between groups (P<0.001). Fluid dynamic analysis demonstrates that, in SCAD group, an angle<90 degree is present at the first bifurcation and it can be a cause of increased strain on vessel wall in patients with high tortuosity of coronary artery. CONCLUSION Tortuosity and angle between the LAD and the adjacent arterial branch combined may determine increased shear stress on the vessel wall that increases the risk of SCAD.
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Affiliation(s)
- C Di Donna
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - A U Cavallo
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - L Pugliese
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - F Ricci
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - V De Stasio
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - M Presicce
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - L Spiritigliozzi
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - F Di Tosto
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - M Di Luozzo
- Division of Cardiology, University Hospital Policlinico "Tor Vergata", Rome, Italy.
| | - S Muscoli
- Division of Cardiology, University Hospital Policlinico "Tor Vergata", Rome, Italy.
| | - L Benelli
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - F D'Errico
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - M Pasqualetto
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - F P Sbordone
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - F Grimaldi
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - V Meschini
- Postdoctoral researcher at university of Roma Tor Vergata, Rome, Italy.
| | - R Verzicco
- Department of Industrial Engineering, Università di Roma "Tor Vergata", Rome, Italy.
| | - F Romeo
- Division of Cardiology, University Hospital Policlinico "Tor Vergata", Rome, Italy.
| | - R Floris
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
| | - M Chiocchi
- Division of Radiology, University Hospital Policlinico "Tor Vergata", Viale Oxford, 81, 00133 Rome, Italy.
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10
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Ricci F, Cavallo AU, Luca P, Vincenzo DS, Monia P, D’Errico F, Benelli L, Paola R, Floris R, Chiocchi M. Radiological pitfalls associated with the diagnosis of usual interstitial pneumonia pattern on high-resolution computed tomography and associated findings: experience from a single Italian center. Acta Radiol 2021; 62:619-627. [PMID: 32586124 DOI: 10.1177/0284185120936270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND The diagnostic algorithm for idiopathic pulmonary fibrosis (IPF) based on high-resolution computed tomography (HRCT) findings and multidisciplinary discussion (MDD) has been well established. PURPOSE To identify the causes of disagreement between non-thoracic and thoracic radiologist involved in MDD for the imaging diagnosis of usual interstitial pneumonia (UIP) patterns and associated findings on HRCT and to improve the understanding of IPF by non-expert radiologists through a more systematic approach to HRCT. MATERIAL AND METHODS This study included 68 patients who underwent MDD for suspected IPF. We compared the first reports generated before MDD by non-expert radiologists with the CT pattern and associated findings of IPF reported by thoracic radiologist involved in MDD. RESULTS Regarding the diagnosis of CT pattern by non-expert radiologists, 30/68 patients received a discordant diagnosis, and in another 28 reports, all features of the CT pattern were described without reaching a diagnostic conclusion. The first report was concordant in only 10 patients. For 63 cases in which associated findings were reported by expert radiologists in MDD, we documented discrepancies in 47 cases where associated findings were considered absent by the first non-thoracic radiologist. CONCLUSION We found significant discrepancies in the imaging diagnosis of UIP patterns and associated findings on HRCT between non-expert and thoracic radiologists included in MDD. Therefore, in this study, we analyzed and suggested diagnostic strategies to improve non-expert radiologists' approach to HRCT.
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Affiliation(s)
- Francesca Ricci
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Armando Ugo Cavallo
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Pugliese Luca
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - De Stasio Vincenzo
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Pasqualetto Monia
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Francesca D’Errico
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Leonardo Benelli
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Rogliani Paola
- Respiratory Medicine, Department of Systems Medicine, University of Rome “Tor Vergata,” Rome, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
| | - Marcello Chiocchi
- Department of Biomedicine and Prevention, Division of Diagnostic Imaging, University of Rome “Tor Vergata,” Rome, Italy
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Fiori R, Forcina M, Di Donna C, Spiritigliozzi L, Cavallo AU, Floris R. Effects on pain of percutaneous treatment of cervical disc herniations using DiscoGel: A retrospective analysis. Neuroradiol J 2021; 34:313-319. [PMID: 33678063 DOI: 10.1177/19714009211000622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND AND PURPOSE Cervical discogenic pain originates from degenerated intervertebral discs and is a common condition in the middle-aged population. Cervical discs may herniate and give compressions to cervical nerves, with pain and functional limitation of the arms. DiscoGel is a device that can be useful in the treatment of cervical disc herniation, with very short operating time and low radiation dose. MATERIAL AND METHODS Between March 2018 and April 2019 we performed this procedure on 38 patients with non-fissurated cervical herniation using 0.3-0.4 mL of DiscoGel injected under fluoroscopic guidance. The most common discs affected were C5-C6, C6-C7 and C4-C5. Outcomes were evaluated with Visual Analogue Scale (VAS) and Neuropathic Pain Symptom Inventory (NPSI) scores at 3, 6 and 12 months follow-up. A magnetic resonance imaging (MRI) scan of the cervical spine was performed 3 months after the procedure. RESULTS Postoperative examinations showed: VAS 2.15 ± 1.34 and NPSI 2.29 ± 0.71.Postoperative MRI performed 3 months after the procedure showed a good improvement of cervical disc herniation or bulging or protrusion. The mean dose area product (DAP) was 2803 mGy/cm2 with a mean fluoroscopy time of 4 minutes 22 seconds.Conclusion DiscoGel is a suitable approach for non-fissurated cervical disc herniations, especially in patients that are not suitable for open surgery, with excellent postoperative results, fast recovery and a low radiation dose.
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Affiliation(s)
- Roberto Fiori
- Division of Radiology, University Hospital Policlinico 'Tor Vergata', Italy.,Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Italy
| | - Marco Forcina
- Division of Radiology, University Hospital Policlinico 'Tor Vergata', Italy.,Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Italy
| | - Carlo Di Donna
- Division of Radiology, University Hospital Policlinico 'Tor Vergata', Italy.,Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Italy
| | - Luigi Spiritigliozzi
- Division of Radiology, University Hospital Policlinico 'Tor Vergata', Italy.,Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Italy
| | - Armando Ugo Cavallo
- Division of Radiology, University Hospital Policlinico 'Tor Vergata', Italy.,Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Italy
| | - Roberto Floris
- Division of Radiology, University Hospital Policlinico 'Tor Vergata', Italy.,Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', Italy
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12
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Persiani P, De Meo D, Giannini E, Calogero V, Speziale Varsamis T, Cavallo AU, Martini L, Cera G, Coluzzi F, Villani C. The Aftermath of COVID-19 Lockdown on Daily Life Activities in Orthopaedic Patients. J Pain Res 2021; 14:575-583. [PMID: 33688247 PMCID: PMC7936667 DOI: 10.2147/jpr.s285814] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 01/12/2021] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Following the 2019 coronavirus (COVID-19) pandemic, many reports have investigated the psychosocial effects of the lockdown. The aim of our study was to investigate the effects of the lockdown on the daily life habits of orthopaedic patients. PATIENTS AND METHODS Around 30 days after the start of the Italian lockdown, from April 17th to the end of the containment measures on May 18th, the Sapienza University of Rome carried out a 19-item survey on the effects the lockdown caused in patients suffering from an orthopaedic pathology (with regard to changes in lifestyle, pain, treatment) by stratifying the sample by age, sex, profession, pain location, pathogenesis and prior surgeries. RESULTS A total of 292 subjects with orthopaedic pathologies took part in the survey. Taking into consideration the totality of the sample, physical activity was significantly reduced (p <0.001). The increase of a sedentary lifestyle was statistically significant (p <0.001), as well as an increase in pain (p <0.001) and the need to adjust the pharmacological treatment (p <0.001). The increase in pain was particularly significant in the 50-70 age group, among workers, and in polyarthralgic patients. About 55.48% stated that the lockdown period worsened their underlying pathological condition and 53.77% expressed the need to undergo a new clinical evaluation at the end of the lockdown. CONCLUSION The impact of the COVID-19 pandemic lockdown and resulting sudden changes in lifestyle led to a change in patient perception of orthopedic pathology including a worsening of musculoskeletal pain requiring an adjustment or change in pharmacological and physical therapy.
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Affiliation(s)
- Pietro Persiani
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Daniele De Meo
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Elettra Giannini
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Valeria Calogero
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Tommaso Speziale Varsamis
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Armando Ugo Cavallo
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, 00133, Italy
| | - Lorena Martini
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Gianluca Cera
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
| | - Flaminia Coluzzi
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, 00185, Italy
| | - Ciro Villani
- Department of Orthopaedic and Traumatology, Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, 00185, Italy
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13
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Cavallo AU, Troisi J, Forcina M, Mari PV, Forte V, Sperandio M, Pagano S, Cavallo P, Floris R, Garaci F. Texture Analysis in the Evaluation of Covid-19 Pneumonia in Chest X-Ray Images: a Proof of Concept Study. Curr Med Imaging 2021; 17:1094-1102. [PMID: 33438548 DOI: 10.2174/1573405617999210112195450] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 12/01/2020] [Accepted: 12/04/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND One of the most challenging aspects related to Covid-19 is to establish the presence of infection in early phase of the disease. Texture analysis might be an additional tool for the evaluation of Chest X-ray in patients with clinical suspicion of Covid-19 related pneumonia. OBJECTIVE To evaluate the diagnostic performance of texture analysis and machine learning models for the diagnosis of Covid-19 interstitial pneumonia in Chest X-ray images. METHODS Chest X-ray images were accessed from a publicly available repository (https://www.kaggle.com/tawsifurrahman/covid19-radiography-database). Lung areas were manually segmented using a polygonal regions of interest covering both lung areas, using MaZda, a freely available software for texture analysis. A total of 308 features per ROI was extracted. One hundred-ten Covid-19 Chest X-ray images were selected for the final analysis. RESULTS Six models, namely NB, GLM, DL, GBT, ANN and PLS-DA were selected and ensembled. According to Youden's index, the Covid-19 Ensemble Machine Learning Score showing the highest Area Under the Curve (0.971±0.015) was 132.57. Assuming this cut-off the Ensemble model performance was estimated evaluating both true and false positive/negative, resulting in 91.8% accuracy with 93% sensitivity and 90% specificity. Moving the cut-off value to -100, although the accuracy resulted lower (90.6%), the Ensemble Machine Learning showed 100% sensitivity, with 80% specificity. CONCLUSION Texture analysis of Chest X-ray images and machine learning algorithms may help in differentiating patients with Covid-19 pneumonia. Despite several limitations, this study can lay ground for future researches in this field and help developing more rapid and accurate screening tools for these patients.
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Affiliation(s)
- Armando Ugo Cavallo
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome,. Italy
| | - Jacopo Troisi
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno,. Italy
| | - Marco Forcina
- Division of Radiology, Policlinico Militare Celio, Rome,. Italy
| | - Pier-Valerio Mari
- Division of Internal Medicine, San Carlo di Nancy Hospital, GVM Care and Research, Rome,. Italy
| | - Valerio Forte
- Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, Rome,. Italy
| | | | - Sergio Pagano
- Department of Physics "E.R. Caianello", University of Salerno, Salerno,. Italy
| | - Pierpaolo Cavallo
- Department of Physics "E.R. Caianello", University of Salerno, Salerno,. Italy
| | - Roberto Floris
- Radiology Unit, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome,. Italy
| | - Francesco Garaci
- Neuroradiology Unit, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome,. Italy
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14
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Chiocchi M, Ricci F, Pasqualetto M, D'Errico F, Benelli L, Pugliese L, Cavallo AU, Forcina M, Presicce M, De Stasio V, Di Donna C, Di Tosto F, Spiritigliozzi L, Floris R, Romeo F. Role of computed tomography in transcatheter aortic valve implantation and valve-in-valve implantation: complete review of preprocedural and postprocedural imaging. J Cardiovasc Med (Hagerstown) 2020; 21:182-191. [PMID: 32012138 DOI: 10.2459/jcm.0000000000000899] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
: Since 2002, transcatheter aortic valve implantation (TAVI) has revolutionized the treatment and prognosis of patients with aortic stenosis. A preprocedural assessment of the patient is vital for achieving optimal outcomes from the procedure. Retrospective ECG-gated cardiac computed tomography (CT) today it is the gold-standard imaging technique that provides three-dimensional images of the heart, thus allowing a rapid and complete evaluation of the morphology of the valve, ascending aorta, coronary arteries, peripheral access vessels, and prognostic factors, and also provides preprocedural coplanar fluoroscopic angle prediction to obtain complete assessment of the patient. The most relevant dimension in preprocedural planning of TAVI is the aortic annulus, which can determine the choice of prosthesis size. CT is also essential to identify patients with increased anatomical risk for coronary artery occlusion in Valve in Valve (ViV) procedures.Moreover, CT is very useful in the evaluation of late complications, such as leakage, thrombosis and displacements. At present, CT is the cornerstone imaging modality for the extensive and thorough work-up required for planning and performing each TAVI procedure, to achieve optimal outcomes. Both the CT procedure and analysis should be performed by trained and experienced personnel, with a radiological background and a deep understanding of the TAVI procedure, in close collaboration with the implantation team. An accurate pre-TAVI CT and post-processing for the evaluation of all the points recommended in this review allow a complete planning for the choice of the valve dimensions and type (balloon or self-expandable) and of the best percutaneous access.
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Affiliation(s)
- Marcello Chiocchi
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Francesca Ricci
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Monia Pasqualetto
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Leonardo Benelli
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Luca Pugliese
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Marco Forcina
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Matteo Presicce
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Carlo Di Donna
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Federica Di Tosto
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Roberto Floris
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Francesco Romeo
- Unit of Cardiology and Interventional Cardiology, University of Rome 'Tor Vergata', Rome, Italy
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15
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Cavallo AU, Muscogiuri E, Forcina M, Colombo A, Fiore F, Sperandio M. Trans-septal course of anomalous left main coronary artery originating from single right coronary ostium presenting with atrial fibrillation in a severely obese patient: a case report. Egypt Heart J 2020; 72:61. [PMID: 32955624 PMCID: PMC7505909 DOI: 10.1186/s43044-020-00093-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 08/27/2020] [Indexed: 11/22/2022] Open
Abstract
Background To present a case of anomalous origin of the left coronary artery evaluated with invasive coronary angiography (ICA) and ECG-gated coronary computed tomography (CCT). Case presentation A patient (55 years old, male) with a past medical history of respiratory failure and atrial fibrillation underwent ICA to rule out coronary artery disease. Subsequently, the patient underwent ECG-gated CCT to evaluate a suspected anomalous aortic origin of the left coronary artery, since the interventional cardiologist was not able to properly identify the left coronary artery and its distal branches. CCT showed left coronary artery originating from the right coronary Valsalva sinus, coursing within the interventricular septum and emerging at the middle segment of the interventricular sulcus, where the left anterior descending and circumflex arteries originated. Conclusion The case we presented highlights the value of ECG-gated CCT in the evaluation of coronary anomaly anatomy and thus risk stratification derived by proper coronary anatomy assessment. Although ICA was not helpful in the diagnosis, it also has a pivotal role regarding the therapeutic management of this condition.
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Affiliation(s)
- Armando Ugo Cavallo
- Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, Rome, Italy. .,Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford, 81, 00133, Rome, Italy.
| | - Emanuele Muscogiuri
- Division of Radiology, University Hospital Sant'Andrea, University of Rome "La Sapienza", Rome, Italy
| | - Marco Forcina
- Division of Radiology, San Carlo di Nancy Hospital, GVM Care and Research, Rome, Italy.,Division of Radiology, Policlinico Militare Celio, Rome, Italy
| | - Antonio Colombo
- Interventional Cardiology Unit, San Carlo di Nancy Hospital, GVM Care and Research, Rome, Italy.,Maria Cecilia Hospital, Cotignola, RA, Italy
| | - Flavio Fiore
- Intensive Care Unit, San Carlo di Nancy Hospital, GVM Care and Research, Rome, Italy
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16
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Forte V, Cavallo AU, Bertolo R, de Soccio V, Sperandio M, Bove P, Ciccariello M. PI-RADS score v.2 in predicting malignancy in patients undergoing 5α-reductase inhibitor therapy. Prostate Cancer Prostatic Dis 2020; 24:150-155. [PMID: 32681155 DOI: 10.1038/s41391-020-0256-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 06/27/2020] [Accepted: 07/09/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND To investigate if the PI-RADS score represents an effective tool in detecting prostate cancer in patients treated with a 5α-reductase inhibitor (dutasteride) and to identify dedicated total serum PSA and PSA density thresholds. METHODS Between April 2015 and March 2018, 75 patients under dutasteride treatment underwent multi-parametric magnetic resonance imaging (mpMRI) scans and US/MRI fusion prostate biopsy. Lesions were classified into two groups: Group 1 included PI-RADS 4 and 5 lesions, whilst Group 2 included PI-RADS 3-4-5 lesions. Lesions in groups 1 and 2 were further divided according to the patients' history of previous prostate biopsy. RESULTS Ninety-seven lesions were detected. In PI-RADS 4-5 group, mpMRI showed a sensitivity of 78.0% and a specificity of 78.7%. The positive predictive value (PPV) was 79.6% and the negative predictive value (NPV) 77.1%. In PI-RADS 3-4-5 group, sensitivity was 100%, specificity 21.3%, PPV 57.5%, NPV 100%. In PI-RADS 4-5 biopsy-naive group sensitivity was 71.4%, specificity 75.0%. PPV 78.9% and NPV 66.7%. In PI-RADS 4-5 non-biopsy-naive group sensitivity was 82.8%, specificity 80.6%, PPV 80%, and NPV 83.3%. PI-RADS 3-4-5 biopsy-naive group showed sensitivity 100%, specificity 31.3%, PPV 65.6%, NPV 100%. PI-RADS 3-4-5 non-biopsy-naive group showed sensitivity 100%, specificity 16.1%, PPV 52.7%, and NPV 100%. ROC curve analysis indicated a serum total PSA threshold of 6 ng/ml (AUC: 0.71-95% confidence interval: 0.60-0.81) and a PSA density >0.22 (AUC: 0.70-95% confidence interval: 0.6-0.81) as optimal cut-offs for recommending prostate biopsy. CONCLUSIONS In our experience the PI-RADS score proved to be sufficiently accurate in predicting prostate cancer in patients under dutasteride therapy.
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Affiliation(s)
- V Forte
- Department of Radiology, San Carlo di Nancy Hospital, Rome, Italy.
| | - A U Cavallo
- Department of Radiology, San Carlo di Nancy Hospital, Rome, Italy.,University Hospital Policlinico "Tor Vergata", Rome, Italy
| | - R Bertolo
- Department of Urology, San Carlo di Nancy Hospital, Rome, Italy
| | - V de Soccio
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, Sapienza University, Rome, Italy
| | - M Sperandio
- Department of Radiology, San Carlo di Nancy Hospital, Rome, Italy
| | - P Bove
- Department of Urology, San Carlo di Nancy Hospital, Rome, Italy
| | - M Ciccariello
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, Sapienza University, Rome, Italy
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Sinno E, De Meo D, Cavallo AU, Petriello L, Ferraro D, Fornara G, Persiani P, Villani C. Is postoperative hyponatremia a real threat for total hip and knee arthroplasty surgery? Medicine (Baltimore) 2020; 99:e20365. [PMID: 32443389 PMCID: PMC7253792 DOI: 10.1097/md.0000000000020365] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Postoperative hyponatremia (POH) is thought to be a fearsome complication of orthopedic surgery. Primary aim of this cohort study was to evaluate the incidence of POH and its clinical relevance in elective surgery, outlining differences between total knee arthroplasty (TKA) and total hip arthroplasty, looking for the presence of any risk factor commonly related to POH.Four hundred two patients that underwent total hip arthroplasty and total knee arthroplasty performed between 2016 and 2017 were retrospectively examined. Serum electrolytes, hemoglobin, hematocrit, glucose, and creatinine were evaluated preoperatively and at day 0-I-II from surgery. Age, sex, body mass index, comorbidities, drugs, surgery data, transfusions, postoperative symptoms, and length of stay (LOS) were determined. All surgeries were performed by the same equipe. Patients had the same perioperative management, excluded those that took thiazides, already at risk of POH.Patients were divided in 2 groups: group A, patients with normal postoperative natremia (294 patients) and group B, patients who developed POH (108, 26.9%); 66.7% of these developed POH within 24 hours postoperatively. In group B mean postoperative natremia was 133.38 (127.78-134.85) mmol/L. Two patients (1.8%) developed moderate hyponatremia, no severe hyponatremia was documented. Type of surgery, operation time, LOS, and presence of postoperative symptoms did not show statistically significant differences within groups. At multivariate logistic analysis chronic use of thiazides was the only variable associated to a decreased risk of developing POH (OR = 0.39; P = .03). Hemoglobin postoperative values (OR = 1.22; P = .03), the need of postoperative transfusion (OR = 2.50; P = .02) and diabetes (OR = 2.70; P = .01) were associated to an increased risk of POH.Although 26.9% of our patients exhibited POH, the onset of this disorder had no implication on postoperative symptoms and on LOS. Diabetes and transfusion are factors most often associated to POH.
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Affiliation(s)
- Ennio Sinno
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
| | - Daniele De Meo
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
| | - Armando Ugo Cavallo
- Division of Diagnostic and Interventional Radiology, University Hospital Policlinico "Tor Vergata", Rome, Italy
| | - Luisa Petriello
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
| | - Daniele Ferraro
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
| | - Gianluca Fornara
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
| | - Pietro Persiani
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
| | - Ciro Villani
- Department of Anatomical, Histological, Forensic Medicine, and Orthopaedic Science, Sapienza University of Rome, Department of Orthopaedics and Traumatology, Policlinico Umberto I
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Pugliese M, De Meo D, Sinno E, Pambianco V, Cavallo AU, Persiani P, Villani C. Can body mass index influence the fracture zone in the fifth metatarsal base? A retrospective review. J Foot Ankle Res 2020; 13:9. [PMID: 32087744 PMCID: PMC7036254 DOI: 10.1186/s13047-020-0374-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 01/23/2020] [Indexed: 11/10/2022] Open
Affiliation(s)
- M Pugliese
- Department of Anatomical, Histological, Forensic Medicine and Orthopaedic Science, Sapienza University of Rome, Piazzale A. Moro 3, 00155, Rome, Italy. .,Department of Orthopaedics and Traumatology, Policlinico Umberto I, Rome, Italy.
| | - D De Meo
- Department of Anatomical, Histological, Forensic Medicine and Orthopaedic Science, Sapienza University of Rome, Piazzale A. Moro 3, 00155, Rome, Italy.,Department of Orthopaedics and Traumatology, Policlinico Umberto I, Rome, Italy
| | - E Sinno
- Department of Anatomical, Histological, Forensic Medicine and Orthopaedic Science, Sapienza University of Rome, Piazzale A. Moro 3, 00155, Rome, Italy.,Department of Orthopaedics and Traumatology, Policlinico Umberto I, Rome, Italy
| | - V Pambianco
- Department of Anatomical, Histological, Forensic Medicine and Orthopaedic Science, Sapienza University of Rome, Piazzale A. Moro 3, 00155, Rome, Italy.,Department of Orthopaedics and Traumatology, Policlinico Umberto I, Rome, Italy
| | - A U Cavallo
- Division of Diagnostic and Interventional Radiology, University Hospital Policlinico "Tor Vergata", Rome, Italy
| | - P Persiani
- Department of Anatomical, Histological, Forensic Medicine and Orthopaedic Science, Sapienza University of Rome, Piazzale A. Moro 3, 00155, Rome, Italy.,Department of Orthopaedics and Traumatology, Policlinico Umberto I, Rome, Italy
| | - C Villani
- Department of Anatomical, Histological, Forensic Medicine and Orthopaedic Science, Sapienza University of Rome, Piazzale A. Moro 3, 00155, Rome, Italy.,Department of Orthopaedics and Traumatology, Policlinico Umberto I, Rome, Italy
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Ricci F, Pugliese L, Cavallo AU, Forcina M, De Stasio V, Presicce M, Di Tosto F, Di Donna C, Spiritigliozzi L, Rogliani P, Floris R, Chiocchi M. Highlights of high-resolution computed tomography imaging in evaluation of complications and co-morbidities in idiopathic pulmonary fibrosis. Acta Radiol 2020; 61:204-218. [PMID: 31237771 DOI: 10.1177/0284185119857435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Idiopathic pulmonary fibrosis (IPF) represents a condition included in the heterogeneous group of interstitial lung diseases without known causes. The recent ATS/ERS/JRS/ALAT guidelines and the white paper published by the Fleischner Society have well-defined diagnosis and management of idiopathic pulmonary fibrosis. Idiopathic pulmonary fibrosis management is complex because it is also influenced by several co-morbidities and complications. The new frontier in idiopathic pulmonary fibrosis is represented by the effort to understand the complex mechanism of the pathogenesis and progression of disease in order to predict several consequences and co-morbidities. In our review, we tried to distinguish co-morbidities from complications of idiopathic pulmonary fibrosis. In each complication, we have reviewed the existing literature and we have emphasized the complex pathobiological pathway which links the progression of idiopathic pulmonary fibrosis to the development of the complication itself. For every co-morbidity, we tried to identify share common risk factors which explain the coexistence of idiopathic pulmonary fibrosis with its co-morbidities. We then analyzed high-resolution computed tomography (CT) aspects of co-morbidities and complications of idiopathic pulmonary fibrosis that the radiologist should be aware of. In this review, we focused on the role of high-resolution CT imaging in the evaluation of co-morbidities and complications in idiopathic pulmonary fibrosis because their early diagnosis and treatment could change the prognosis in patients with idiopathic pulmonary fibrosis. We have also pointed out that in some cases the final combined quantitative CT tools and conventional visual CT score would allow to get an accurate analysis and quantification of disease progression, co-morbidities, and complications of idiopathic pulmonary fibrosis in order to improve staging systems in idiopathic pulmonary fibrosis.
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Affiliation(s)
- Francesca Ricci
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Luca Pugliese
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Armando Ugo Cavallo
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Marco Forcina
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Vincenzo De Stasio
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Matteo Presicce
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Federica Di Tosto
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Carlo Di Donna
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Luigi Spiritigliozzi
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Paola Rogliani
- Respiratory Medicine. Department of Systems Medicine, University of Rome "Tor Vergata," Rome, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
| | - Marcello Chiocchi
- Department of Biomedicine and Prevention Division of Diagnostic Imaging, University of Rome "Tor Vergata," Rome, Italy
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Cavallo AU, Patterson AJ, Thomas R, Alaiti MA, Attizzani GF, Laukamp K, Große Hokamp N, Bezerra H, Gilkeson R, Rajagopalan S. Low dose contrast CT for transcatheter aortic valve replacement assessment: Results from the prospective SPECTACULAR study (spectral CT assessment prior to TAVR). J Cardiovasc Comput Tomogr 2020; 14:68-74. [DOI: 10.1016/j.jcct.2019.06.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 06/06/2019] [Accepted: 06/23/2019] [Indexed: 11/16/2022]
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Fiori R, Forcina M, Di Donna C, D'Onofrio A, Spiritigliozzi L, Cavallo AU, Floris R. Cryotherapy of acetabular osteoid osteoma under fluoroscopic guidance using the XperGuide System. Radiol Case Rep 2019; 14:989-992. [PMID: 31198481 PMCID: PMC6556495 DOI: 10.1016/j.radcr.2019.05.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 05/18/2019] [Accepted: 05/18/2019] [Indexed: 11/17/2022] Open
Abstract
Osteoid osteoma represents 10%-12% of all benign bone tumors, and is composed by osteoid tissue and reticular and immature bone tissue. Acetabular involvement is very rare (≤1%). In this case report, we describe the treatment of an osteoid osteoma of the acetabulum of a young man using cryotherapy under fluoroscopic guide with the new XperGuide system which is used to reduce X-ray radiation dose and to have a more accurate localization of the lesion compared to computed tomography-guided or surgical ablation.
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Cavallo AU, Liu Y, Patterson A, Al-Kindi S, Hamilton J, Gilkeson R, Gulani V, Seiberlich N, Rajagopalan S. CMR Fingerprinting for Myocardial T1, T2, and ECV Quantification in Patients With Nonischemic Cardiomyopathy. JACC Cardiovasc Imaging 2019; 12:1584-1585. [PMID: 31103583 DOI: 10.1016/j.jcmg.2019.01.034] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 12/11/2018] [Accepted: 01/16/2019] [Indexed: 12/01/2022]
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Chiocchi M, Pugliese L, Forcina M, Cavallo AU, Presicce M, De Stasio V, Ricci F, Spiritigliozzi L, Di Donna C, Di Tosto F, Floris R, Romeo F. Pre-transcatheter aortic valve implantation assessment in patients with renal failure: computed tomography and MRI acquisition protocols in our experience. J Cardiovasc Med (Hagerstown) 2019; 20:267-269. [PMID: 30720639 DOI: 10.2459/jcm.0000000000000765] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
| | - Luca Pugliese
- Department of Diagnostic Imaging and Interventional Radiology
| | - Marco Forcina
- Department of Diagnostic Imaging and Interventional Radiology
| | | | - Matteo Presicce
- Department of Diagnostic Imaging and Interventional Radiology
| | | | - Francesca Ricci
- Department of Diagnostic Imaging and Interventional Radiology
| | | | - Carlo Di Donna
- Department of Diagnostic Imaging and Interventional Radiology
| | | | - Roberto Floris
- Department of Diagnostic Imaging and Interventional Radiology
| | - Francesco Romeo
- Unit of Cardiology and Interventional Cardiology, University of Tor Vergata, Rome, Italy
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Cavallo AU, Koktzoglou I, Edelman RR, Gilkeson R, Mihai G, Shin T, Rajagopalan S. Noncontrast Magnetic Resonance Angiography for the Diagnosis of Peripheral Vascular Disease. Circ Cardiovasc Imaging 2019; 12:e008844. [DOI: 10.1161/circimaging.118.008844] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Armando Ugo Cavallo
- Departments of Medicine and Radiology, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, Cleveland OH (A.U.C., R.G., T.S., S.R.)
- Division of Diagnostic and Interventional Radiology, University Hospital Policlinico “Tor Vergata”, Roma, Italy (A.U.C.)
| | - Ioannis Koktzoglou
- Department of Radiology, NorthShore University HealthSystem, Evanston, IL (I.K., R.R.E.)
- University of Chicago Pritzker School of Medicine, IL (I.K.)
| | - Robert R. Edelman
- Department of Radiology, NorthShore University HealthSystem, Evanston, IL (I.K., R.R.E.)
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL (R.R.E.)
| | - Robert Gilkeson
- Departments of Medicine and Radiology, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, Cleveland OH (A.U.C., R.G., T.S., S.R.)
| | - Georgeta Mihai
- Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA (G.M.)
| | - Taehoon Shin
- Departments of Medicine and Radiology, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, Cleveland OH (A.U.C., R.G., T.S., S.R.)
- Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, South Korea (T.S.)
| | - Sanjay Rajagopalan
- Departments of Medicine and Radiology, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, Cleveland OH (A.U.C., R.G., T.S., S.R.)
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Chiocchi M, Forcina M, Morosetti D, Pugliese L, Cavallo AU, Citraro D, De Stasio V, Presicce M, Floris R, Romeo F. The role of computed tomography in the planning of transcatheter aortic valve implantation: a retrospective analysis in 200 procedures. J Cardiovasc Med (Hagerstown) 2019; 19:571-578. [PMID: 30015782 DOI: 10.2459/jcm.0000000000000695] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
AIM The aim of our study is to show the importance of multislice computed tomography (CT) assessment in the overall management and diagnostic framework of transcatheter aortic valve replacement (TAVI) procedure candidates. METHODS Between June 2015 and April 2017, 200 patients with severe aortic stenosis, not eligible for surgery, were enrolled, as defined by EuroSCORE; they were submitted to TAVI at the interventional cardiology department of the Tor Vergata Polyclinic. CT studies were performed using a 64-slice scanner. RESULTS The reports and datasets produced during the pre-TAVI CT evaluation were retrospectively evaluated. DISCUSSION In TAVI candidates, accurate aortic valve shape and dimensions evaluation is crucial for the proper deployment of the prosthetic valve and in order to reduce postprocedural complications. ECG retrospective gated cardiac CT gives the clinician three-dimensional images of the heart, with high spatial resolution and multiplanar reconstructions allowing accurate visualization of the aortic annulus and coronary ostia to be obtained, and the evaluation of arterial calcifications. Furthermore, CT can provide data on the suitability of peripheral vascular accesses. Moreover, this technique can point out the presence of clinically relevant extracardiac findings. Therefore, CT evaluation assures a safe, reliable and prognostically relevant method for TAVI preprocedural planning. CONCLUSION Our study remarks the importance of CT assessment in the overall management and diagnostic framework of TAVI candidates; the information provided is essential in order to minimize possible complications and to improve the quality of the therapeutic planning.
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Affiliation(s)
- Marcello Chiocchi
- Fondazione PTV Policlinico Tor Vergata, Dipartimento di Diagnostica per Immagini, Imaging Molecolare, Radiologia Interventistica e Radioterapia, Rome, Italy
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Chiocchi M, Pugliese L, Forcina M, Cavallo AU, Presicce M, De Stasio V, Ricci F, Spiritigliozzi L, Di Donna C, Di Tosto F, Floris R, Romeo F. Pre-transcatheter aortic valve implantation assessment in patients with renal failure. J Cardiovasc Med (Hagerstown) 2019. [DOI: 10.2459/01244665-900000000-98391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Morosetti D, Picchi E, Calcagni A, Lamacchia F, Cavallo AU, Bozzi A, Lacchè A, Sergiacomi G. Anomalous development of the inferior vena cava: Case reports of agenesis and hypoplasia. Radiol Case Rep 2018; 13:895-903. [PMID: 29997719 PMCID: PMC6037009 DOI: 10.1016/j.radcr.2018.04.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 04/09/2018] [Accepted: 04/13/2018] [Indexed: 11/15/2022] Open
Abstract
We reported the cases of two adult male patients who were admitted to our emergency room with abdominal pain and dyspnea caused by gallstones and pulmonary embolism respectively. During the radiological investigations, as collateral findings, we found two anomalous development of the inferior vena cava. These conditions affect about 4% of population and, although asymptomatic or mildly symptomatic, are associated with thrombotic manifestations as deep vein thrombosis and pulmonary embolism. The prompt recognition of these anomalies is necessary in order to prevent the complications associated with these conditions and to set the best therapy for patients.
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Affiliation(s)
- Daniele Morosetti
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Eliseo Picchi
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Antonello Calcagni
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Feliciana Lamacchia
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Armando Ugo Cavallo
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Alessio Bozzi
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Adriano Lacchè
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
| | - Gianluigi Sergiacomi
- Department of Diagnostic and Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of Rome "Tor Vergata", Viale Oxford 81, 00133 Rome, Italy
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Manenti G, Cavallo AU, Marsico S, Citraro D, Vasili E, Lacchè A, Forcina M, Ferlosio A, Rossi P, Floris R. Chronic expanding hematoma of the left flank mimicking a soft-tissue neoplasm. Radiol Case Rep 2017; 12:801-806. [PMID: 29484075 PMCID: PMC5823383 DOI: 10.1016/j.radcr.2017.07.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 07/15/2017] [Accepted: 07/27/2017] [Indexed: 12/28/2022] Open
Abstract
Soft-tissue hematomas are a common clinical entity often associated with trauma, surgery, and bleeding disorders. In the majority of cases, soft-tissue hematomas acutely appear and spontaneously resolve, but sometimes, they present as swellings that slowly expand and progressively increase with time. We present a case of a 70-year-old man with chronic expanding hematoma of the left flank without any history of recent trauma or other medical disease. The diagnosis could not be confirmed on imaging features alone, so the patient was taken to surgery for open biopsy and excision. In patients with slowly growing extremity masses without recent trauma or chronic medical disorders, the differential diagnosis becomes challenging, and chronic expanding hematoma should be considered in addition to soft-tissue sarcomas and other malignancies.
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Affiliation(s)
- Guglielmo Manenti
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Armando Ugo Cavallo
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Salvatore Marsico
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Daniele Citraro
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Erald Vasili
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Adriano Lacchè
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Marco Forcina
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
| | - Amedeo Ferlosio
- Anatomic Pathology Institute, Department of Biomedicine and Prevention, University of Rome "Tor Vergata," Rome, Italy
| | - Piero Rossi
- Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata," Rome, Italy
| | - Roberto Floris
- Department of Diagnostic Radiology, Molecular Imaging, Radiation Therapy and Interventional Radiology, University of Rome "Tor Vergata," Viale Oxford, 81, 00133 Rome, Italy
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Citro R, Attisano T, Vigorito F, Cavallo AU, Vitale G, Coccia M, Santoro G, Giudice P. Combined percutaneous closure of paravalvular leaks and intraprosthetic regurgitation after transcatheter aortic valve implantation. Int J Cardiol 2014; 175:e48-51. [DOI: 10.1016/j.ijcard.2014.05.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 05/12/2014] [Indexed: 11/28/2022]
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